TEMPS: Temporal Sentence Embeddings for Temporal Information Retrieval
Modern information retrieval (IR) systems rarely represent time, yet many information needs depend on it: in clinical, journalistic, and legal search, when an event occurred can decide whether a document is relevant. Dense retrievers and Retrieval-Augmented Generation (RAG) pipelines match queries to documents well on...
Mourad Hassani, Julien Romero, Amel Bouzeghoub et al.
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